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Record W7009940790

The first direct measurement of the 17O(α,γ)21Ne reaction and its impact on heavy element production
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2012· dissertation· en· W7009940790 on OpenAlexaboutno aff

Bibliographic record

VenueWhite Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · 2012
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsnot available
Fundersnot available
KeywordsRecoilNeutronHeliumNuclear reactionNuclear astrophysicsIsotopeNeutron captureWork (physics)Reaction rate
DOInot available

Abstract

fetched live from OpenAlex

The ratio of the 17 O(α,γ)21 Ne reaction rate to that of the competing 17 O(α,n)20 Ne \nreaction has long been thought to have significant consequences to the s- \nprocess. Specifically in massive rotating stars at low metallicity, the abun- \ndance of light isotopes toward the end of the helium burning stages can be \nsufficient to compensate for their relatively low neutron capture cross sec- \ntions. The high neutron absorption rate on 16 O can potentially reduce the \nefficiency of the weak s-process unless there is a substantial recycling factor \nthrough the 17 O(α,n)20 Ne reaction. The strength of the weaker (α,γ) channel, \nrelative to that of the (α,n), is crucial to determining weak s-process elemen- \ntal abundances due to the reduction in neutron availability a strong channel \nwould cause. \nPrior to this work all astrophysical calculations were based on sparse data on \nthe (α,n) channel and two wildly conflicting theoretical models on the (α,γ) \nchannel. Calculations based on predicted reaction rates have so far resulted \nin a discrepancy of up to 104 in the abundance of elements from strontium \nto barium. This work presents the results of the first direct measurement of \nthe 17 O(α,γ)21 Ne reaction carried out on the DRAGON recoil separator at \nthe TRIUMF laboratory in Vancouver, Canada. Cross section measurements \nwere performed across the energy range of 0.6 < Ecm < 1.6 MeV. Data was \nsuccessfully taken enabling the calculation of a resonance strength within \nthe Gamow window of ωγ = 4±0.3 meV at Ecm = 0.621 MeV, as well as \nconfirmed resonance strengths at 0.8 and 1.165 MeV and further upper limits. \nThe calculated reaction rate appears to oppose the assignment of 16 O as a poi- \nson, instead favouring neutron recycling via the (α,n) channel, the associated \nefficiency of the s-process and resulting higher Sr-Ba abundances. However, \nit should be highlighted that without further information covering the lower \nportion of the Gamow window this can only represent a lower limit on the \n17 \nO(α,γ)21 Ne reaction rate. The techniques, data and results relevant to this \nreaction are presented within this thesis. \n

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.239
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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